气候变化领域集成服务门户(CCPortal): Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing

CCPortal

DOI	10.3390/rs11151800
	Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing
	Vagen, Tor-Gunnar; Winowiecki, Leigh Ann
发表日期	2019-08-01
EISSN	2072-4292
卷号	11 期号:15
英文摘要	Simple Summary This research paper presents the first consistent spatial assessments of soil erosion prevalence based on Earth observation data and systematic field surveys to train models that predict soil erosion prevalence across the global tropics. Th
关键词	soil erosion land degradation global tropics food security remote sensing Earth observation ecosystem health resilience
学科领域	Remote Sensing
语种	英语
WOS记录号	WOS:000482442800064
来源期刊	REMOTE SENSING
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/83727
作者单位	World Agroforestry Ctr ICRAF, POB 30677-00100, Nairobi, Kenya
推荐引用方式 GB/T 7714	Vagen, Tor-Gunnar,Winowiecki, Leigh Ann. Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing[J],2019,11(15).
APA	Vagen, Tor-Gunnar,&Winowiecki, Leigh Ann.(2019).Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing.REMOTE SENSING,11(15).
MLA	Vagen, Tor-Gunnar,et al."Predicting the Spatial Distribution and Severity of Soil Erosion in the Global Tropics using Satellite Remote Sensing".REMOTE SENSING 11.15(2019).